mitai-jinkendo/backend/data_layer/recovery_interpretation.py
Lars 61738cecb7
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feat: enhance recovery dashboard with optional average sleep KPI and structured insights
- Added an `include_avg_sleep_kpi` parameter to the `build_recovery_dashboard_kpi_tiles` function to conditionally include average sleep data in the dashboard.
- Updated the `get_recovery_dashboard_viz_bundle` function to pass the new parameter, ensuring flexibility in data presentation.
- Refactored the insights generation in the `vitals_fitness_insights.py` file to utilize a new structured approach for better organization of heart and VO2 insights.
- Introduced new components in the frontend for displaying insights, improving the user experience and clarity of vital metrics.
2026-04-20 11:43:56 +02:00

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"""
KPIs und Kurz-Aussagen für Recovery-Dashboard (Layer 2b).
"""
from __future__ import annotations
from typing import Any, Dict, List, Optional
def _verdict(status: str) -> str:
if status == "good":
return "Gut"
if status == "warn":
return "Hinweis"
return "Achtung"
def _recovery_score_status(score: Optional[int]) -> str:
if score is None:
return "warn"
if score >= 70:
return "good"
if score >= 45:
return "warn"
return "bad"
def _debt_status(hours: Optional[float]) -> str:
if hours is None:
return "warn"
if hours <= 2:
return "good"
if hours <= 8:
return "warn"
return "bad"
def build_recovery_dashboard_kpi_tiles(
recovery_score: Optional[int],
sleep_debt_hours: Optional[float],
avg_sleep_hours: Optional[float],
hrv_vs_baseline_pct: Optional[float],
rhr_vs_baseline_pct: Optional[float],
merge_heart_autonomic_tiles: bool = True,
include_avg_sleep_kpi: bool = True,
) -> List[Dict[str, Any]]:
tiles: List[Dict[str, Any]] = []
rs = _recovery_score_status(recovery_score)
tiles.append(
{
"key": "recovery_score",
"category": "Recovery-Score",
"icon": "💚",
"value": str(recovery_score) if recovery_score is not None else "",
"sublabel": "Modell aus Schlaf + Vitaldaten",
"status": rs,
"verdict": _verdict(rs),
"hoverTop": "Gesamt-Recovery-Score (0100)",
"hoverBody": "calculate_recovery_score_v2 — gleiche Quelle wie Platzhalter.",
"keys": ["recovery_score"],
}
)
ds = _debt_status(sleep_debt_hours)
tiles.append(
{
"key": "sleep_debt",
"category": "Schlafschuld",
"icon": "",
"value": f"{sleep_debt_hours:.1f} h".replace(".", ",")
if sleep_debt_hours is not None
else "",
"sublabel": "Kumuliert (Ziel 8 h/Nacht)",
"status": ds,
"verdict": _verdict(ds),
"hoverTop": "Geschätzte Schlafschuld",
"hoverBody": "calculate_sleep_debt_hours",
"keys": ["sleep_debt_hours"],
}
)
if include_avg_sleep_kpi:
tiles.append(
{
"key": "avg_sleep",
"category": "Ø Schlafdauer",
"icon": "🌙",
"value": f"{avg_sleep_hours:.1f} h".replace(".", ",") if avg_sleep_hours is not None else "",
"sublabel": "Im gewählten Fenster",
"status": "good" if avg_sleep_hours and avg_sleep_hours >= 7 else "warn",
"verdict": "Gut" if avg_sleep_hours and avg_sleep_hours >= 7 else "Hinweis",
"hoverTop": "Durchschnittliche Schlafdauer",
"hoverBody": "get_sleep_duration_data",
"keys": ["sleep_duration_avg"],
}
)
if merge_heart_autonomic_tiles and (
hrv_vs_baseline_pct is not None or rhr_vs_baseline_pct is not None
):
h_s = (
"good"
if hrv_vs_baseline_pct is not None and hrv_vs_baseline_pct >= 0
else "warn"
if hrv_vs_baseline_pct is not None
else "warn"
)
parts: List[str] = []
if hrv_vs_baseline_pct is not None:
parts.append(f"HRV {hrv_vs_baseline_pct:+.1f} %".replace(".", ","))
if rhr_vs_baseline_pct is not None:
parts.append(f"RHR {rhr_vs_baseline_pct:+.1f} %".replace(".", ","))
tiles.append(
{
"key": "herz_autonom",
"category": "Herz & autonomes System",
"icon": "❤️‍🩹",
"value": " · ".join(parts) if parts else "",
"sublabel": "HRV/Ruhepuls vs. Referenz (3-Tage-Mittel vs. ältere Basis)",
"status": h_s,
"verdict": _verdict(h_s),
"hoverTop": "HRV und Ruhepuls relativ zur persönlichen Basis",
"hoverBody": "calculate_hrv_vs_baseline_pct · calculate_rhr_vs_baseline_pct",
"keys": ["hrv_vs_baseline", "rhr_vs_baseline"],
}
)
else:
h_s = (
"good"
if hrv_vs_baseline_pct is not None and hrv_vs_baseline_pct >= 0
else "warn"
if hrv_vs_baseline_pct is not None
else "warn"
)
tiles.append(
{
"key": "hrv_baseline",
"category": "HRV vs. Basis",
"icon": "〰️",
"value": f"{hrv_vs_baseline_pct:+.1f} %".replace(".", ",")
if hrv_vs_baseline_pct is not None
else "",
"sublabel": "Letzte 3 Tage vs. ältere Basis",
"status": h_s,
"verdict": _verdict(h_s),
"hoverTop": "Abweichung HRV vom Referenzmittel",
"hoverBody": "calculate_hrv_vs_baseline_pct",
"keys": ["hrv_vs_baseline"],
}
)
tiles.append(
{
"key": "rhr_baseline",
"category": "Ruhepuls vs. Basis",
"icon": "❤️",
"value": f"{rhr_vs_baseline_pct:+.1f} %".replace(".", ",")
if rhr_vs_baseline_pct is not None
else "",
"sublabel": "Niedriger oft günstiger",
"status": "good",
"verdict": "Gut",
"hoverTop": "Abweichung Ruhepuls",
"hoverBody": "calculate_rhr_vs_baseline_pct",
"keys": ["rhr_vs_baseline"],
}
)
return tiles
def build_recovery_progress_insights(
recovery_score: Optional[int],
sleep_debt_hours: Optional[float],
hrv_vs_baseline_pct: Optional[float],
include_autonomic_hrv_narrative: bool = False,
) -> List[Dict[str, Any]]:
"""HRV-Basistext optional: steckt gebündelt im Vital-Verlauf (consolidated_paragraphs)."""
out: List[Dict[str, Any]] = []
if recovery_score is not None:
tone = "good" if recovery_score >= 65 else "warn" if recovery_score >= 45 else "bad"
out.append(
{
"key": "ins_rec",
"tone": tone,
"title": "Gesamterholung",
"body": f"Der Recovery-Score liegt bei {recovery_score}/100. "
"Er kombiniert Schlaf- und Vital-Signale — ideal für die Einordnung von Trainingstagen.",
}
)
if sleep_debt_hours is not None:
tone = "good" if sleep_debt_hours <= 3 else "warn" if sleep_debt_hours <= 10 else "bad"
out.append(
{
"key": "ins_debt",
"tone": tone,
"title": "Schlaf nachholen",
"body": f"Geschätzte Schlafschuld: {sleep_debt_hours:.1f} h. "
"Hohe Schulden erhöhen Verletzungs- und Ermüdungsrisiko — Priorität Schlafhygiene.",
}
)
if include_autonomic_hrv_narrative and hrv_vs_baseline_pct is not None:
tone = "good" if hrv_vs_baseline_pct >= 0 else "warn"
out.append(
{
"key": "ins_hrv",
"tone": tone,
"title": "Autonomes System",
"body": f"HRV liegt {hrv_vs_baseline_pct:+.1f} % relativ zur Basis. "
"Positive Werte werden oft mit guter Regeneration assoziiert (individuell interpretieren).",
}
)
return out